Approaching deterministic and probabilistic truth: an unified account
| Autor: | Roberto Festa, Gustavo Cevolani |
|---|---|
| Přispěvatelé: | Festa, R., Cevolani, G. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Metaphysics 0603 philosophy ethics and religion Divergence (computer science) 050105 experimental psychology Similarity Domain (software engineering) Divergence Philosophy of language Truth approximation Simple (abstract algebra) Verisimilitude Information 0501 psychology and cognitive sciences (Dis)agreement Truthlikeness Probability Philosophy of science Truthlikene 05 social sciences Probabilistic logic General Social Sciences 06 humanities and the arts Philosophy 060302 philosophy Mathematical economics |
| Popis: | The basic problem of a theory of truth approximation is defining when a theory is “close to the truth” about some relevant domain. Existing accounts of truthlikeness or verisimilitude address this problem, but are usually limited to the problem of approaching a “deterministic” truth by means of deterministic theories. A general theory of truth approximation, however, should arguably cover also cases where either the relevant theories, or “the truth”, or both, are “probabilistic” in nature. As a step forward in this direction, we first present a general characterization of both deterministic and probabilistic truth approximation; then, we introduce a new account of verisimilitude which provides a simple formal framework to deal with such issue in a unified way. The connections of our account with some other proposals in the literature are also briefly discussed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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